Analytics & CRO

Overview

Implement reliable analytics with GA4 + GTM, build decision-ready dashboards, run disciplined A/B and multivariate tests, and use behavioral insights to increase conversion rate.

GA4 + GTM

Clean data streams, enhanced measurement, and standardized event naming.
Server-side and client-side tagging with robust debug and consent handling.

Attribution

Model comparison and channel group tuning for clearer CAC/ROAS reporting.
UTM governance and Ads–GA4 linking for accurate conversion paths.

A/B and multivariate tests

Hypothesis-driven experiments with clear primary metrics and guardrails.
Dashboards to monitor lift, sample ratio, and segment performance in near‑real time.

Heatmaps & session replay

Identify friction with scroll/click maps and replay; prioritize by impact on key funnels.
Translate behavior patterns into testable hypotheses and backlog items.

What you get

GA4 + GTM

Event taxonomy, consent-ready tagging, and QA.
Attribution

Clean source/mediums and Ads linking for clarity.
A/B & multivariate

Disciplined tests with monitored guardrails.
Behavior analytics

Heatmaps and replay to spot friction.

Deliverables

GA4 + GTM implementation plan
Attribution and UTM governance
Experiment backlog + dashboards
Behavior insights & test roadmap

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Got Questions? We Have Answers.

How do you ensure GA4 data quality?

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Standardized events, debug/preview QA, clean Ads linking, and a consistent structure are key. This approach limits sampling issues and noise for accurate attribution and reporting.

What makes a good A/B test?

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It needs a clear hypothesis, a single primary metric with guardrails, sufficient statistical power to detect lift, and dashboards to monitor performance across user segments in real-time.

How do heatmaps/replays feed CRO?

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Behavioral data exposes friction points and intent mismatches. We translate these patterns into prioritized experiments aimed at the highest-impact steps in your key conversion funnels.